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A network approach to discerning the identities of C. elegans in a free moving population
The study of C. elegans has led to ground-breaking discoveries in gene-function, neuronal circuits, and physiological responses. Subtle behavioral phenotypes, however, are often difficult to measure reproducibly. We have developed an experimental and computational infrastructure to simultaneously re...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5057085/ https://www.ncbi.nlm.nih.gov/pubmed/27725712 http://dx.doi.org/10.1038/srep34859 |
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author | Winter, Peter B. Brielmann, Renee M. Timkovich, Nicholas P. Navarro, Helio T. Teixeira-Castro, Andreia Morimoto, Richard I. Amaral, Luis A. N. |
author_facet | Winter, Peter B. Brielmann, Renee M. Timkovich, Nicholas P. Navarro, Helio T. Teixeira-Castro, Andreia Morimoto, Richard I. Amaral, Luis A. N. |
author_sort | Winter, Peter B. |
collection | PubMed |
description | The study of C. elegans has led to ground-breaking discoveries in gene-function, neuronal circuits, and physiological responses. Subtle behavioral phenotypes, however, are often difficult to measure reproducibly. We have developed an experimental and computational infrastructure to simultaneously record and analyze the physical characteristics, movement, and social behaviors of dozens of interacting free-moving nematodes. Our algorithm implements a directed acyclic network that reconstructs the complex behavioral trajectories generated by individual C. elegans in a free moving population by chaining hundreds to thousands of short tracks into long contiguous trails. This technique allows for the high-throughput quantification of behavioral characteristics that require long-term observation of individual animals. The graphical interface we developed will enable researchers to uncover, in a reproducible manner, subtle time-dependent behavioral phenotypes that will allow dissection of the molecular mechanisms that give rise to organism-level behavior. |
format | Online Article Text |
id | pubmed-5057085 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50570852016-10-24 A network approach to discerning the identities of C. elegans in a free moving population Winter, Peter B. Brielmann, Renee M. Timkovich, Nicholas P. Navarro, Helio T. Teixeira-Castro, Andreia Morimoto, Richard I. Amaral, Luis A. N. Sci Rep Article The study of C. elegans has led to ground-breaking discoveries in gene-function, neuronal circuits, and physiological responses. Subtle behavioral phenotypes, however, are often difficult to measure reproducibly. We have developed an experimental and computational infrastructure to simultaneously record and analyze the physical characteristics, movement, and social behaviors of dozens of interacting free-moving nematodes. Our algorithm implements a directed acyclic network that reconstructs the complex behavioral trajectories generated by individual C. elegans in a free moving population by chaining hundreds to thousands of short tracks into long contiguous trails. This technique allows for the high-throughput quantification of behavioral characteristics that require long-term observation of individual animals. The graphical interface we developed will enable researchers to uncover, in a reproducible manner, subtle time-dependent behavioral phenotypes that will allow dissection of the molecular mechanisms that give rise to organism-level behavior. Nature Publishing Group 2016-10-11 /pmc/articles/PMC5057085/ /pubmed/27725712 http://dx.doi.org/10.1038/srep34859 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Winter, Peter B. Brielmann, Renee M. Timkovich, Nicholas P. Navarro, Helio T. Teixeira-Castro, Andreia Morimoto, Richard I. Amaral, Luis A. N. A network approach to discerning the identities of C. elegans in a free moving population |
title | A network approach to discerning the identities of C. elegans in a free moving population |
title_full | A network approach to discerning the identities of C. elegans in a free moving population |
title_fullStr | A network approach to discerning the identities of C. elegans in a free moving population |
title_full_unstemmed | A network approach to discerning the identities of C. elegans in a free moving population |
title_short | A network approach to discerning the identities of C. elegans in a free moving population |
title_sort | network approach to discerning the identities of c. elegans in a free moving population |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5057085/ https://www.ncbi.nlm.nih.gov/pubmed/27725712 http://dx.doi.org/10.1038/srep34859 |
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